Stanley H. Chan
Education
Bio SketchStanley H. Chan is an Elmore Professor in the School of
Electrical and Computer Engineering and the Department of Statistics at
Purdue University, West Lafayette, IN. Dr. Chan received the Ph.D. degree in Electrical Engineering and the M.A.
degree in Mathematics from the University of California at
San Diego, in 2011 and 2009, respectively, and the B.Eng. degree (with first
class honor) in Electrical Engineering from the University of Hong Kong in 2007. He was a postdoctoral research fellow at
Harvard John A. Paulson School of Engineering
and Applied Sciences from 2012 to 2014. He joined Purdue University in 2014. Dr. Chan is the recipient of the IEEE Signal Proecssing Society Best Paper
Award 2022 for the Plug-and-Play ADMM paper he co-authored with students
Xiran Wang and Omar Elgendy. He is also the recipient of the Best Paper Award
in IEEE International Conference on Image Processing 2016 (with PhD
student Omar Elgendy). He has won numerous teaching awards, including the
Ruth and Joel Sipra Outstanding Teaching Award in 2019, Purdue College of
Engineering Exceptional Early Career Teaching Award in 2019, Purdue Teaching
for Tomorrow Fellow, 2018, Eta Kappa Nu (HKN) Purdue Outstanding Professor
Award in 2018, Purdue College of Engineering Outstanding Graduate Mentor
Award in 2016, and Eta Kappa Nu (HKN) Purdue Outstanding Teaching Award 2015.
Prior to joining Purdue, he was a recipient of the Croucher Foundation
Postdoctoral fellowship, and the Croucher Foundation PhD Scholarship. He is currently serving on the editorial board of the IEEE Transactions on Computational Imaging (Associate Editor 2019-2022, Senior Area Editor 2022-present), and IEEE Open Journal on Signal Processing (Senior Area Editor, 2022-present). He was a former Associate Editor of the OSA Optics Express (2016-2019). Dr. Chan is an elected member of the IEEE Signal Processing Society Technical Committee on Image, Video, and Multidimensional Signal Processing (2022-present). Previouly, he was an elected member of the IEEE Signal Processing Society Technical Committee on Computational Imaging (2015-2021). He is the recipient of the IEEE Signal Processing Society Outstanding Editorial Board Award 2021, and the CVPR 2022 Outstanding Reviewer Award. Dr. Chan does research in computational imaging. His research mission is to build intelligent cameras by co-desigining sensors and algorithms to enable seeing in all imaging conditions. His research is supported by the National Science Foundation, Air Force Research Lab, Army Research Office, and other federal and industrial sponsors. Professional Service
Awards
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